A strong law of large numbers for arrays of rowwise negatively dependent random variables

By R. L. Taylor, R. Patterson, A. Bozorgnia. 2002

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On the strong convergence rate for weighted sums of arrays of rowwise negatively orthant dependent random variables (2013, methodology): “We refer to [19] for the Kolmogorov exponential inequality, [4] for the Rosenthals type inequality, [11] for Hájek–Rényi type inequality, [2,3,12,13] for almost sure convergence, [1,14,15,18,21–23] for complete convergence, and so on.”
On the complete convergence for arrays of rowwise extended negatively dependent random variables (2013, unknown): “([18]).”
The Strong Consistency of M Estimator in a Linear Model for Negatively Dependent Random Samples (2011, background): “A series of useful results have been established (cf; Bozorgnia et al., 1993; Ebrahimi and Ghosh, 1981; Klesov et al., 2005; Kuczmaszewska, 2006; Taylor et al., 2002).”
Complete convergence for arrays of rowwise negatively orthant dependent random variables (2011, background): “[16], Zareo and Jabbari [20] and Wu [18,19] for complete convergence, and so on.”